Applications of machine learning in healthcare and internet of things (IOT): a comprehensive review
FG Mohammadi, F Shenavarmasouleh… - arxiv preprint arxiv …, 2022 - arxiv.org
In recent years, smart healthcare IoT devices have become ubiquitous, but they work in
isolated networks due to their policy. Having these devices connected in a network enables …
isolated networks due to their policy. Having these devices connected in a network enables …
Embodied AI‐Driven Operation of Smart Cities: A Concise Review
F Shenavarmasouleh, FG Mohammadi… - Cyberphysical Smart …, 2022 - Wiley Online Library
An undeniable part of a smart city is its use of smart agents. These agents can vary a lot in
sizes, shapes, and functionalities. Embodied artificial intelligence is the field of study that …
sizes, shapes, and functionalities. Embodied artificial intelligence is the field of study that …
ML and IoT coupled biomedical applications in healthcare: Smart growth and upcoming challenges
R Vasanth, M Paranthaman… - Internet of Things …, 2025 - taylorfrancis.com
A number of industries, including healthcare, are changing as a result of Internet of Things
(IoT) and machine learning (ML). This chapter focuses on how ML and IoT are coupled and …
(IoT) and machine learning (ML). This chapter focuses on how ML and IoT are coupled and …
A new approach for fundus lesions instance segmentation based on mask r-cnn x101-fpn pre-trained architecture
Diabetic retinopathy is one of the main causes of vision loss, and it can be identified through
ophthalmological examinations that aim to locate the presence of retinal lesions such as …
ophthalmological examinations that aim to locate the presence of retinal lesions such as …
Deep-rsi: Deep learning for radiographs source identification
FG Mohammadi, R Sebro - 2022 International conference on …, 2022 - ieeexplore.ieee.org
In forensics, the authenticity of digital images is of the utmost importance, considering that
modern technology makes it incredibly simple and quick to alter and generate fake but …
modern technology makes it incredibly simple and quick to alter and generate fake but …
Internet of things (iot) in healthcare: Applications, challenges and solutions
FG Mohammadi, F Shenavarmasouleh… - 2021 International …, 2021 - ieeexplore.ieee.org
In recent years, smart healthcare IoT devices have become ubiquitous, but they mostly work
in isolated networks due to their policies. Having these devices connected in a network …
in isolated networks due to their policies. Having these devices connected in a network …
Deep Learning in Healthcare: An In-Depth Analysis
F Shenavarmasouleh, FG Mohammadi… - arxiv preprint arxiv …, 2023 - arxiv.org
Deep learning (DL) along with never-ending advancements in computational processing
and cloud technologies have bestowed us powerful analyzing tools and techniques in the …
and cloud technologies have bestowed us powerful analyzing tools and techniques in the …
Precise lesion analysis to detect diabetic retinopathy using Generative Adversarial Network (GAN) and Mask-RCNN
R Chaudhuri, S Deb - Procedia Computer Science, 2024 - Elsevier
Modern Medical diagnosis has a significant reliance on systematic image analysis for
rational prognosis. With the advancement of computer vision methods, supported by deep …
rational prognosis. With the advancement of computer vision methods, supported by deep …
A Method Based on Deep Neural Network for Instance Segmentation of Retinal Lesions Caused by Diabetic Retinopathy
Diabetic Retinopathy is one of the main causes of vision loss and can be identified through
ophthalmological exams that aim to locate the presence of retinal lesions such as …
ophthalmological exams that aim to locate the presence of retinal lesions such as …
Precise lesion analysis to detect diabetic retinopathy using Generative Adversarial Network (GAN) and Mask-RCNN
Aryan, R Chaudhuri, S Deb - 2024 - dl.acm.org
Modern Medical diagnosis has a significant reliance on systematic image analysis for
rational prognosis. With the advancement of computer vision methods, supported by deep …
rational prognosis. With the advancement of computer vision methods, supported by deep …